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Sandeep Singh commented on SPARK-16609:
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I can work on this.
> Single function for parsing
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Apache Spark commented on SPARK-16932:
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User 'BryanCutler' has created a pull request for this
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Apache Spark reassigned SPARK-16932:
Assignee: Apache Spark
> Programming-guide Accumulator section should be more clear w.r.t
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Apache Spark reassigned SPARK-16932:
Assignee: (was: Apache Spark)
> Programming-guide Accumulator section should be more
Bryan Cutler created SPARK-16932:
Summary: Programming-guide Accumulator section should be more
clear w.r.t new API
Key: SPARK-16932
URL: https://issues.apache.org/jira/browse/SPARK-16932
Project:
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Bryan Cutler closed SPARK-15702.
Resolution: Fixed
> Update document programming-guide accumulator section
>
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Sandeep Singh commented on SPARK-16889:
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Why not use something like
{code}
"Argument '%s' shall
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Sean Owen commented on SPARK-16852:
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Does it cause any problem?
> RejectedExecutionException when exit
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Sean Owen commented on SPARK-16326:
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Is there an action for the Spark code here? I'm inclined to close
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Sean Owen updated SPARK-16717:
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Priority: Minor (was: Major)
> Dataframe (jdbc) is missing a way to link and external function to get
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Sam commented on SPARK-1:
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[~clockfly] in your code sample, there is a case class for Point, not esri's
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Sean Owen edited comment on SPARK-16929 at 8/6/16 3:55 AM:
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At least, one easy
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Sean Owen commented on SPARK-16929:
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At least, one easy optimization we could make is to let
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Sean Owen updated SPARK-15899:
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Assignee: Alexander Ulanov
Priority: Major (was: Minor)
Issue Type: Bug (was:
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Sean Owen updated SPARK-16847:
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Assignee: Hyukjin Kwon
> Prevent to potentially read corrupt statstics on binary in Parquet via
>
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Sean Owen resolved SPARK-16847.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14450
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Sean Owen updated SPARK-16928:
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Priority: Minor (was: Major)
Description:
In both OnHeapColumnVector and OffHeapColumnVector,
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Sean Owen commented on SPARK-15702:
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I don't think this should be reopened to add a new and somewhat
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Sean Owen commented on SPARK-16864:
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What would an app do with that info at runtime -- you'd really
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Apache Spark reassigned SPARK-16610:
Assignee: Apache Spark
> When writing ORC files, orc.compress should not be overridden if
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Apache Spark reassigned SPARK-16610:
Assignee: (was: Apache Spark)
> When writing ORC files, orc.compress should not be
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Apache Spark commented on SPARK-16610:
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User 'HyukjinKwon' has created a pull request for this
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Tao Lin updated SPARK-16856:
Summary: Link the application's executor page to the master's UI (was:
Link application summary page and
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Apache Spark reassigned SPARK-16931:
Assignee: (was: Apache Spark)
> PySpark access to data-frame bucketing api
>
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Apache Spark commented on SPARK-16931:
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User 'GregBowyer' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16931:
Assignee: Apache Spark
> PySpark access to data-frame bucketing api
>
Greg Bowyer created SPARK-16931:
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Summary: PySpark access to data-frame bucketing api
Key: SPARK-16931
URL: https://issues.apache.org/jira/browse/SPARK-16931
Project: Spark
Issue Type:
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https://issues.apache.org/jira/browse/SPARK-16508?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15410296#comment-15410296
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Junyang Qian commented on SPARK-16508:
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It seems that there are still some warnings in my local
Marcelo Vanzin created SPARK-16930:
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Summary: ApplicationMaster's code that waits for SparkContext is
race-prone
Key: SPARK-16930
URL: https://issues.apache.org/jira/browse/SPARK-16930
Project:
Nicholas Brown created SPARK-16929:
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Summary: Bad synchronization with regard to speculation
Key: SPARK-16929
URL: https://issues.apache.org/jira/browse/SPARK-16929
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-15354?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15410269#comment-15410269
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Davies Liu commented on SPARK-15354:
This strategy used in HDFS is to balance the write traffic (for
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Stavros Kontopoulos edited comment on SPARK-11638 at 8/5/16 11:08 PM:
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Stavros Kontopoulos commented on SPARK-11638:
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[~radekg][~mgummelt] what do you think?
> Run
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Yin Huai resolved SPARK-16901.
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Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue resolved by pull request
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Jan Gorecki edited comment on SPARK-16864 at 8/5/16 10:52 PM:
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Hi, git
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Jan Gorecki edited comment on SPARK-16864 at 8/5/16 10:51 PM:
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Hi, git
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Jan Gorecki commented on SPARK-16864:
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Hi, git commit is relevant to applications at runtime as long
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Apache Spark reassigned SPARK-15702:
Assignee: Weichen Xu (was: Apache Spark)
> Update document programming-guide accumulator
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Apache Spark commented on SPARK-15702:
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User 'BryanCutler' has created a pull request for this
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Apache Spark reassigned SPARK-15702:
Assignee: Apache Spark (was: Weichen Xu)
> Update document programming-guide accumulator
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Bryan Cutler reopened SPARK-15702:
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I'm reopening this because I think the current programming guide accumulator
section is
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Xin Wu updated SPARK-16924:
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Issue Type: Improvement (was: Bug)
> DataStreamReader can not support option("inferSchema", true/false) for
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Apache Spark commented on SPARK-16926:
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User 'dafrista' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16926:
Assignee: Apache Spark
> Partition columns are present in columns metadata for partition
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Apache Spark reassigned SPARK-16926:
Assignee: (was: Apache Spark)
> Partition columns are present in columns metadata for
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https://issues.apache.org/jira/browse/SPARK-16928?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-16928:
Assignee: Apache Spark
> Recursive call of ColumnVector::getInt() breaks JIT inlining
>
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Apache Spark commented on SPARK-16928:
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User 'ooq' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16928:
Assignee: (was: Apache Spark)
> Recursive call of ColumnVector::getInt() breaks JIT
Qifan Pu created SPARK-16928:
Summary: Recursive call of ColumnVector::getInt() breaks JIT
inlining
Key: SPARK-16928
URL: https://issues.apache.org/jira/browse/SPARK-16928
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-16927?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-16927:
Assignee: Apache Spark
> Mesos Cluster Dispatcher default properties
>
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Apache Spark reassigned SPARK-16927:
Assignee: (was: Apache Spark)
> Mesos Cluster Dispatcher default properties
>
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Apache Spark reassigned SPARK-16923:
Assignee: Apache Spark
> Mesos cluster scheduler duplicates config vars by setting them
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Apache Spark commented on SPARK-16927:
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User 'mgummelt' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16923:
Assignee: (was: Apache Spark)
> Mesos cluster scheduler duplicates config vars by
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Apache Spark commented on SPARK-16923:
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User 'mgummelt' has created a pull request for this issue:
Michael Gummelt created SPARK-16927:
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Summary: Mesos Cluster Dispatcher default properties
Key: SPARK-16927
URL: https://issues.apache.org/jira/browse/SPARK-16927
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-16260?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler updated SPARK-16260:
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Description:
This parent task is to track a few possible improvements and cleanup for
PySpark
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Bryan Cutler updated SPARK-16260:
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Summary: ML Example Improvements and Cleanup (was: PySpark ML Example
Improvements and Cleanup)
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Hossein Falaki commented on SPARK-16883:
Thanks [~shivaram]! This may require changing the
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Sean Owen resolved SPARK-16817.
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Resolution: Won't Fix
We removed the Tachyon dependency a while ago, although its purpose was
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Sean Owen resolved SPARK-16784.
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Resolution: Not A Problem
Reopen if that's not what you meant
> Configurable log4j settings
>
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Apache Spark commented on SPARK-16925:
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User 'JoshRosen' has created a pull request for this issue:
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Josh Rosen updated SPARK-16925:
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Description:
If you have a Spark standalone cluster which runs a single application and you
have a
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Sean Owen resolved SPARK-16709.
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Resolution: Duplicate
> Task with commit failed will retry infinite when speculation set to true
>
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Sean Owen resolved SPARK-16499.
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Resolution: Won't Fix
> Improve applyInPlace function for matrix in ANN code
>
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Sean Owen resolved SPARK-16455.
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Resolution: Won't Fix
> Add a new hook in CoarseGrainedSchedulerBackend in order to stop scheduling
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Josh Rosen updated SPARK-16925:
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Summary: Spark tasks which cause JVM to exit with a zero exit code may
cause app to hang in
Josh Rosen created SPARK-16925:
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Summary: Spark tasks which cause JVM to exit with a zero exit code
may cause app to hang
Key: SPARK-16925
URL: https://issues.apache.org/jira/browse/SPARK-16925
Project:
Brian Cho created SPARK-16926:
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Summary: Partition columns are present in columns metadata for
partition but not table
Key: SPARK-16926
URL: https://issues.apache.org/jira/browse/SPARK-16926
Project:
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Apache Spark reassigned SPARK-16924:
Assignee: Apache Spark
> DataStreamReader can not support option("inferSchema",
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Apache Spark reassigned SPARK-16924:
Assignee: (was: Apache Spark)
> DataStreamReader can not support
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Apache Spark commented on SPARK-16924:
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User 'xwu0226' has created a pull request for this issue:
Xin Wu created SPARK-16924:
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Summary: DataStreamReader can not support option("inferSchema",
true/false) for csv and json file source
Key: SPARK-16924
URL: https://issues.apache.org/jira/browse/SPARK-16924
Michael Gummelt created SPARK-16923:
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Summary: Mesos cluster scheduler duplicates config vars by setting
them in the environment and as --conf
Key: SPARK-16923
URL:
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Marcelo Vanzin resolved SPARK-13238.
Resolution: Fixed
Assignee: Ekasit Kijsipongse
Fix Version/s: 2.1.0
> Add
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Apache Spark commented on SPARK-16586:
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User 'vanzin' has created a pull request for this issue:
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https://issues.apache.org/jira/browse/SPARK-16260?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-16260.
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Resolution: Done
Assignee: Bryan Cutler
> PySpark ML Example Improvements and Cleanup
>
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Sean Owen updated SPARK-16826:
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Assignee: Sylvain Zimmer
> java.util.Hashtable limits the throughput of PARSE_URL()
>
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Sean Owen updated SPARK-16421:
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Assignee: Bryan Cutler
Priority: Major (was: Trivial)
> Improve output from ML examples
>
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Sean Owen resolved SPARK-16421.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14308
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Sean Owen resolved SPARK-16826.
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Resolution: Fixed
Fix Version/s: 2.1.0
Issue resolved by pull request 14488
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Sital Kedia commented on SPARK-16922:
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PS - Rerunning the query with
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Apache Spark reassigned SPARK-16905:
Assignee: Apache Spark (was: Davies Liu)
> Support SQL DDL: MSCK REPAIR TABLE
>
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Sean Owen commented on SPARK-6305:
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The problem, I think, is that then this would not take effect if the
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Apache Spark commented on SPARK-16905:
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User 'davies' has created a pull request for this issue:
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Apache Spark reassigned SPARK-16905:
Assignee: Davies Liu (was: Apache Spark)
> Support SQL DDL: MSCK REPAIR TABLE
>
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Sital Kedia commented on SPARK-16922:
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cc - [~rxin]
> Query failure due to executor OOM in Spark
Sital Kedia created SPARK-16922:
---
Summary: Query failure due to executor OOM in Spark 2.0
Key: SPARK-16922
URL: https://issues.apache.org/jira/browse/SPARK-16922
Project: Spark
Issue Type: Bug
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Yin Huai commented on SPARK-16610:
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Sure. For ORC, {{orc.compression}} is the actual conf that lets ORC
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Sean Owen resolved SPARK-5312.
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Resolution: Won't Fix
> Use sbt to detect new or changed public classes in PRs
>
Nicholas Chammas created SPARK-16921:
Summary: RDD/DataFrame persist() and cache() should return Python
context managers
Key: SPARK-16921
URL: https://issues.apache.org/jira/browse/SPARK-16921
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https://issues.apache.org/jira/browse/SPARK-7505?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nicholas Chammas closed SPARK-7505.
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Resolution: Invalid
Closing this as invalid as I believe these issues are no longer
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Nicholas Chammas commented on SPARK-5312:
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[~boyork] - Shall we close this? It doesn't look like
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https://issues.apache.org/jira/browse/SPARK-16920?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-16920:
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Issue Type: Improvement (was: Bug)
> Investigate and fix issues introduced in
Vladimir Feinberg created SPARK-16920:
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Summary: Investigate and fix issues introduced in SPARK-15858
Key: SPARK-16920
URL: https://issues.apache.org/jira/browse/SPARK-16920
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-16883?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15409691#comment-15409691
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Shivaram Venkataraman commented on SPARK-16883:
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The thing to check then is how the
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https://issues.apache.org/jira/browse/SPARK-6305?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15409660#comment-15409660
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Mikael Ståldal commented on SPARK-6305:
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For unit tests, you can put a logging configuration file in
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Mikael Ståldal commented on SPARK-6305:
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It should not be necessary to do explicit logging
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Mikael Ståldal commented on SPARK-6305:
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It might not be necessary to load logging configuration
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https://issues.apache.org/jira/browse/SPARK-16917?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sudev updated SPARK-16917:
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Description:
It would be nice to have Kafka version compatibility information in the
official documentation.
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